code: def _testDataset(self, dataset, function, predicate):
      expected_output = []
      for x in range(10):
          r = function(x)
          if isinstance(r, tuple):
              b = predicate(*r)  # Pass tuple as multiple arguments.
          else:
              b = predicate(r)
          if self.evaluate(b):
              expected_output.append(r)
      self.assertDatasetProduces(
          dataset, expected_output=expected_output
      )
  
file_path: tensorflow/tensorflow/python/data/experimental/kernel_tests/optimization/map_and_filter_fusion_test.py
imports: import functools
  from absl.testing import parameterized
  from tensorflow.python.data.experimental.ops import testing
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the MapAndFilterFusionTest obj's underlying member method code with example usage: obj._testDataset(dataset, function, predicate) without return types